Manager, AI Platform Engineering , Agent Platform Organization
Amazon · Toronto, Canada · Data Science
manager
software engineering
Engineering Manager
hybrid
· Posted Apr 24, 2026
C$154,200 – C$257,600
CAD per year
About this role
Amazon is hiring a manager-level Engineering Manager in the software engineering function based in Toronto, Canada. The posting calls out experience with LLMs, Observability, Data Modeling, ETL. Compensation is listed at C$154,200–C$257,600 per year.
- Role
- Engineering Manager
- Function
- software engineering
- Level
- manager
- Track
- hybrid
- Employment
- Full-time
- Location
- Toronto, Canada
- Department
- Data Science
- Posted
- Apr 24, 2026
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Job description
from Amazon careersWe are looking for a Manager of AI Platform Engineering to lead a team of AI platform engineers building and operating the data pipelines, models, and platform infrastructure that power core analytics, science and AI intatives. You will own the delivery and operational health of multiple business domains, build and mentor a high-performing team, and help evolve our self-service offerings from reactive dashboards to proactive agent driven approaches.
Your team will use AI development IDEs and generative AI tooling daily, and will build multi-agent solutions that automate common data engineering and BI tasks (e.g. pipeline generation, data quality enforcement, testing, and operational response). You will guide this evolution, helping your engineers develop fluency with agentic tooling while maintaining the data engineering fundamentals that everything depends on. You will also help your engineers develop and deploy agents, that solve common Analytics use cases around monitoring, anomaly detection, and insight generation.
You will also partner with business intelligence, applied science, and product teams to translate data needs into technical roadmaps, and contribute to shared platform infrastructure when the work calls for it.
Your team will use AI development IDEs and generative AI tooling daily, and will build multi-agent solutions that automate common data engineering and BI tasks (e.g. pipeline generation, data quality enforcement, testing, and operational response). You will guide this evolution, helping your engineers develop fluency with agentic tooling while maintaining the data engineering fundamentals that everything depends on. You will also help your engineers develop and deploy agents, that solve common Analytics use cases around monitoring, anomaly detection, and insight generation.
You will also partner with business intelligence, applied science, and product teams to translate data needs into technical roadmaps, and contribute to shared platform infrastructure when the work calls for it.
Basic Qualifications
This is an excerpt. Read the full job description on Amazon careers →